AI / ML Solutions Architect

AI / ML Solutions Architect

(Enterprise Cloud, Security, DevOps)

Location: DTC; Hybrid

Duration: 6 months with option to extend

Experience level: Senior

About the Role

We are seeking a highly skilled Solutions Architect with 5 years of architecture experience to design, develop, and deliver end to end AI/ML and cloud-native solutions across our enterprise ecosystem. This role requires both technical depth and architectural vision-someone who can translate business requirements into scalable, secure, and high performance architectures while remaining fully hands-on with modern engineering practices. You will collaborate closely with engineering, security, product, and leadership teams to ensure our solutions are robust, performant, and aligned with long-term technology strategy.

The ideal candidate brings deep expertise across AWS, Azure, and Google Cloud Platform, as well as strong software architecture fundamentals, DevOps discipline, and modern IT security practices. You will guide teams in building cloud-native services, AI/ML-enabled applications, and reliable production systems. Candidates with AWS/Azure/Google Cloud Platform Solutions Architect certifications and demonstrated experience designing real-world solutions will stand out.

Key Technical Skills

AI/ML Solutions Architecture

• Designing end-to-end AI/ML architectures: data pipelines, model deployment, serving layers
• Integrating ML frameworks (TensorFlow, PyTorch) into scalable applications
• Experience with model deployment patterns (batch, streaming, real-time inference)
• Ability to translate ML requirements into architecture diagrams, infrastructure specs, and solution roadmaps

Cloud Computing (Deep Expertise Across AWS, Azure, Google Cloud Platform)

• Architecting solutions using cloud-native services (compute, storage, networking, identity, analytics)
• Multi-cloud or hybrid-cloud architecture patterns
• Infrastructure automation (Terraform, CloudFormation, ARM/Bicep)
• Cloud security best practices (IAM, identity boundaries, encryption, secrets management)

Software Architecture & Engineering

• Strong experience designing distributed systems, microservices, APIs (REST/gRPC)
• Designing event-driven systems, asynchronous messaging, and integration patterns
• Expertise in architectural patterns: domain-driven design, 12-factor apps, CQRS, serverless
• Hands-on engineering with Python, Node.js, or Go for prototyping and solution validation

DevOps & Platform Engineering

• CI/CD pipeline design (GitHub Actions, GitLab CI, Azure DevOps, Jenkins)
• Containerization & orchestration: Docker, Kubernetes, Helm
• Observability tooling: logging, metrics, tracing (Prometheus, Grafana, ELK, OpenTelemetry)
• Automated testing frameworks for infrastructure and application layers

Security & Compliance

• Deep knowledge of cloud security principles, zero-trust architectures, and network segmentation
• Designing secure architectures aligned with SOC2, ISO 27001, HIPAA, or industry frameworks
• Threat modeling, vulnerability management, and secure SDLC practices
• Secrets management and key management (KMS, Vault, cloud-native services)

Certifications (Preferred)AWS Solutions Architect (Associate or Professional)

• Azure Solutions Architect Expert
• Google Professional Cloud Architect

Unison Systems Inc. is a full-service IT consulting firm that offers staffing, consulting, direct-hire recruiting and solutions delivery services. Core areas of service include: Software Engineering Data Management Project/Program Management Infrastructure & Support